Benchmarking the driver acceleration impact on vehicle energy consumption and CO2 emissions. (June 2022)

• Record Type: Journal Article
• Authors: Suarez, Jaime; Makridis, Michail; Anesiadou, Aikaterini; Komnos, Dimitrios; Ciuffo, Biagio; Fontaras, Georgios
• Is Part Of: Transportation research. Volume 107(2022)
• Publication Date: 2022-06
• Subjects: Driver heterogeneity -- Driver characterization -- Driving style -- Energy consumption -- WLTC -- CO2 emissions; Transportation -- Research -- Periodicals; Transportation -- Environmental aspects -- Periodicals; 354.76
• DOI: 10.1016/j.trd.2022.103282
• Languages: English
• ISSNs: 1361-9209

Abstract

Abstract: The study proposes a methodology for quantifying the impact of real-world heterogeneous driving behavior on vehicle energy consumption, linking instantaneous acceleration heterogeneity and CO2 emissions. Data recorded from 20 different drivers under real driving are benchmarked against the Worldwide Harmonized Light Vehicle Test Cycle (WLTC), first by correlating the speed cycle with individual driver behavior and then by quantifying the CO2 emissions and consumption. The vehicle-Independent Driving Style metric (IDS) is used to quantify acceleration dynamicity, introducing driving style stochasticity by means of probability distribution functions. Results show that the WLTC cycle assumes a relatively smooth acceleration style compared to the observed ones. The method successfully associates acceleration dynamicity to CO2 emissions. We observe a 5% difference in the CO2 emissions between the most favourable and the least favourable case. The intra-driver variance reached 3%, while the inter-driver variance is below 2%. The approach can be used for quantifying the driving style induced emissions divergence.